Aeilko H. Zwinderman's research while affiliated with Gezond Amsterdam and other places
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Publications (806)
Background
Patients with the phospholamban (PLN) p.(Arg14del) variant can develop a severe cardiomyopathy, characterized by progressive heart failure (HF) and major ventricular arrhythmias (VA). However, there is a marked variability in disease expression among affected individuals. There is still a considerable gap of knowledge regarding the influ...
Background
PLN p.(Arg14del) positive individuals are at risk for developing arrhythmogenic cardiomyopathy which can cause severe heart failure. Future gene therapy could be lifesaving and is rapidly advancing. It is therefore of importance to identify eligible patients for this evolving treatment, with individuals risk prediction playing an imperat...
Objective
The high heritability of salt sensitivity suggests an essential role for genetic variants in the relationship between sodium intake and blood pressure (BP). Candidate gene studies have mainly focused on renal and vascular pathways, but the role of glycosaminoglycan (GAG) genes, which are crucial for salinity tolerance, remains to be eluci...
Background
Chronic total coronary occlusions (CTO) substantially increase the risk for sudden cardiac death. Among patients with chronic ischemic heart disease at risk for sudden cardiac death, an implantable cardioverter defibrillator (ICD) is the favored therapy for primary prevention of sudden cardiac death. This study sought to investigate the...
Aims
Recently, a genetic variant-specific prediction model for phospholamban (PLN) p.(Arg14del)-positive individuals was developed to predict individual major ventricular arrhythmia (VA) risk to support decision-making for primary prevention implantable cardioverter defibrillator (ICD) implantation. This model predicts major VA risk from baseline d...
In clinical and biomedical research, multiple high-dimensional datasets are nowadays routinely collected from omics and imaging devices. Multivariate methods, such as Canonical Correlation Analysis (CCA), integrate two (or more) datasets to discover and understand underlying biological mechanisms. For an explorative method like CCA, interpretation...
Background
Hypertension can be classified into different phenotypes according to systolic and diastolic blood pressure (BP). In younger adults, these phenotypical differences have different prognostic value for men and women. However, little is known about sex differences in the natural course of different BP phenotypes over time.
Methods
We used...
Aims
Gut microbiota have been linked to blood lipid levels and cardiovascular diseases (CVDs). The composition and abundance of gut microbiota trophic networks differ between ethnicities. We aim to evaluate the relationship between gut microbiotal trophic networks and CVD phenotypes.
Methods and results
We included cross-sectional data from 3860 i...
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The current standard method for estimating it is subject to high inter- and intra-rater variability, and an automate...
We propose to combine the benefits of flexible parametric survival modeling and regularization to improve risk prediction modeling in the context of time-to-event data. Thereto, we introduce ridge, lasso, elastic net, and group lasso penalties for both log hazard and log cumulative hazard models. The log (cumulative) hazard in these models is repre...
Background:
Guidelines recommend thromboprophylaxis for cancer patients at high risk of venous thromboembolism (VTE). Polygenic risk scores may improve VTE prediction, but have not yet been evaluated in cancer patients.
Methods:
We assessed the performance of the 5-SNP, 37-SNP, 297-SNP, extended 297-SNP (additionally including factor V Leiden an...
Background:
Elevated lipoprotein(a) and familial hypercholesterolaemia are both independent risk conditions for cardiovascular disease. Although signs of atherosclerosis can be observed in children with familial hypercholesterolaemia, it is unknown whether elevated lipoprotein(a) is an additional risk factor for atherosclerosis in these young pati...
In this multiple variables predictive model the effect of three predictors on mortality were assessed. The treatment modality and cholesterol were independend predictors both with p-values of 0,001 in the Cox regression. With the Accelerated failure time model with Weibull distribution equal p-values were obtained.
In 18 patients the group membership was an insignificant predictor of event with a p-value of 0,058 in the Cox regression. With the Accelerated failure time model with Weibull distribution the p-value fell to 0,008.
In a 15 patient mortality study the treatment modality was an insignificant predictor of mortality with a p-value of 0,138. With the Accelerated failure time model with Weibull distribution the p-value fell to 0,008.
In 29 patients with glioma brain cancer treatment modality was an insignificant predictor of event with a p-value of 0,083. With the Accelerated failure time model with exponential distribution the p-value fell to 0,047, and became thus statistically significant at p < 0,05.
In 64 lymphoma patients the presence of B symptoms was a significant predictor of survival with a p-value of 0,007 in the Cox regression. In the Accelerated failure time models with both the exponential and the log logistics distributions the p-values fell to 0,001.
Time to event regressions are used to describe the percentages of patients having an event in longitudinal studies. However, in survival studies the numbers of events are often disproportionate with time, or checks are not timely made, or changes are sinusoidally due to seasonal effect. Many more mechanisms may bias exponential-event-like patterns....
Students in medicine and health sciences find regression analyses harder than any other methodology in statistics. This edition will start with a brief review of history, and methodologies of regression analyses. Linear regression has a continuous outcome variable. In contrast, logistic and Cox regressions have binary outcomes, and use logarithmic...
In a 198 patient one year follow-up study with many censored patients the group membership was an insignificant predictor of deaths at a p-value of p = 0,300. With the Accelerated failure time models p-values repeatedly fell to p = 0,021.
In 38 rats the exposure to carcinogens was an insignificant predictor of deaths from carcinoma with a p-value of 0,141 in the Cox regression. With the Accelerated failure time model with Weibull distribution the p-value fell to 0,050.
In 40 patients on alcohol detox program the treatment with a personal coach was an insignificant predictor of alcohol relapse with a p-value of 0,122 in the Cox regression. With the Accelerated failure time model with log normal distribution the p-value fell to 0,048, and became thus statistically significant at p < 0,050.
In 81 patients the group membership was a significant predictor of event at p = 0,013. With the Accelerated failure time model with exponential distribution the p-value fell to 0,005.
In 40 patients on alcohol detox program the presence of symptoms, the presence of an alcohol anonymous consultant, and the group membership were significant predictors of alcohol relapse with p-values of 0,001, 0,032, and 0,021 in the Cox regression. With the Accelerated failure time model with log normal distribution the p-values fell to respectiv...
In 12 patients the group membership was an insignificant predictor of event with a p-value of 0,109 in the Cox regression. With the Accelerated failure time model with a log normal distribution the p-value fell to 0,047, and became thus statistically significant at p < 0.05.
In 60 patients with cardiovascular disease the treatment modality was a statistically significant predictor of event at a p-value of 0,004 in the Cox regression. With the Accelerated failure time model the p-value even fell to p = 0,001.
Students in medicine and health sciences find regression analyses harder than any other methodology in statistics. This edition will start with a brief review of history, and methodologies of regression analyses. Linear regression has a continuous outcome variable. In contrast, logistic and Cox regressions have binary outcomes, and use logarithmic...
In 23 patients with acute myeloid leucemia maintained chemotherapy or discontinued chemotherapy were compared in a parallel group study. Maintenance was an insignificant predictor of survival with a p-value of 0,078. With the Accelerated failure time model with a Weibull distribution the p-value fell to 0,015.
In 52 patients with human immunodeficiency virus infection the treatment modality was a significant predictor of the occurrence of neuroaids with a p-value of p = 0,043 in the Cox regression. In the Accelerated failure time model with exponential distribution the p-value fell to p = 0,039.
In 55 patients treatment modality was an insignificant predictor of event with a p-value of 0,149. With the Accelerated failure time model with log logistics distribution the p-value fell to p = 0,024.
Accelerated failure time models do not use, like Cox regression (Chap. 1), the hazard of death, but, rather, the risk of death. The hazard is the ratio “death/non-deaths”, while the risk of death is the ratio “death/entire population at the start of a study”. The hazard runs from zero to + ∞, whereas the risk runs from zero to 1 (= 100%). Both haza...
In 81 patients with histiocytic lymphoma the disease stage was a significant predictor of survival at a p-value of 0,013 in the Cox regression. With the Accelerated failure time model with exponential distribution the p-value fell to 0,005. The effect of stage on survival was estimated in patients with stage 1 and stage 2 histiocytic lymphoma.
The Chaps. 1, 2, and 3 of this edition will review the general principles of the most popular regression models in a nonmathematical fashion, including linear regression, the main purposes of regression analyses, the methods of logistic regression for event analysis, and Cox regression for hazard analysis. Cox regression is just like logistic regre...
In 28 patients with metastatic colonic cancer the treatment modality was a significant predictor of event with a p-value of 0,010 in the Cox regression. With the Accelerated failure time models the best predictive p-value was p = 0,001 which was ten times better than that of the Cox model. For all of the AFT (Accelerated failure time) models the AI...
In 2421 stroke patients smoking and physical activities were significant predictors of time to second stroke with p-values of 0,001 and 0,05 in the Cox regression. With Accelerated failure time models with log logistics distribution the p-values changed into 0,001 and 0,018 respectively. The data file was available from the “samples” site as attach...
Patients with MYC rearranged (MYC-R) diffuse large B-cell lymphoma (DLBCL) have a poor prognosis. Previously, we demonstrated in a single-arm phase II trial (HOVON-130) that addition of lenalidomide to R-CHOP (R2CHOP) is well-tolerated and yields similar complete metabolic remission rates as more intensive chemotherapy regimens in literature. In pa...
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The current standard method for estimating it is subject to high inter-and intra-rater variability, and an automated...
Background
During the course of history, various important lifestyle changes have caused profound transitions of the gut microbiome. These include the introduction of agriculture and animal husbandry, a shift from a nomadic to a more sedentary lifestyle, and recently increased levels of urbanization and a transition towards a more Western lifestyle...
A newborn girl had, from two weeks on, small bruises on varying body locations, but not on her chest. Her Armenian grandmother easily bruised, too. Her mother was diagnosed with hypermobility-type Ehlers-Danlos-Syndrome (hEDS), an autosomal dominant connective tissue disorder, with a 50% inheritance probability. Referral to a University Medical Cen...
Marfan syndrome (MFS) is a connective tissue disorder caused by mutations in the extracellular matrix gene coding for fibrillin-1 (FBN1). MFS leads to aortic aneurysms as key feature. Due to the high genetic diversity within the MFS patient population, genotype-phenotype predictions on disease progression and response to therapy remain challenging....
Background and aims:
Hypertension is an important global health burden with major differences in prevalence among ethnic minorities compared to host populations. Longitudinal research on ethnic differences in blood pressure (BP) levels provides the opportunity to assess the efficacy of strategies aimed at mitigating gaps in hypertension control. I...
Background:
Ethnic minority groups experience a disproportionately high burden of infections, hospitalizations and mortality due to COVID-19, and therefore should be especially encouraged to receive SARS-CoV-2 vaccination. This study aimed to investigate the intent to vaccinate against SARS-CoV-2, along with its determinants, in six ethnic groups...
Background:
The association between perceived ethnic discrimination (PED) and mental health conditions is well studied. However, less is known about the association between PED and suicidal ideation, or the role of positive psychosocial factors in this association.
Aims:
To examine the association between PED and suicidal ideation among ethnic m...
The gut microbiome is thought to play a role in depressive disorders, which makes it an attractive target for interventions. Both the microbiome and depressive symptom levels vary substantially across ethnic groups. Thus, any intervention for depression targeting the microbiome requires understanding of microbiome-depression associations across eth...
Depression is one of the most poorly understood diseases due to its elusive pathogenesis. There is an urgency to identify molecular and biological mechanisms underlying depression and the gut microbiome is a novel area of interest. Here we investigate the relation of fecal microbiome diversity and composition with depressive symptoms in 1,054 parti...
Introduction
Implantation of an implantable cardioverter defibrillator (ICD) is standard care for primary prevention of sudden cardiac death. However, ICD-related complications are increasing as the population of ICD recipients grows.
Methods
ICD-related complications in a national DO-IT Registry cohort of 1442 primary prevention ICD patients were...
Aims
Familial hypercholesterolaemia (FH) predisposes children to the early initiation of atherosclerosis and is preferably diagnosed by DNA analysis. Yet, in many children with a clinical presentation of FH, no mutation is found. Adult data show that high levels of lipoprotein(a) [Lp(a)] may underlie a clinical presentation of FH, as the cholestero...
To optimize care for children with Marfan syndrome (MFS) in the Netherlands, Dutch MFS growth charts were constructed. Additionally, we aimed to investigate the effect of FBN1 variant type (haploinsufficiency [HI]/dominant negative [DN]) on growth, and compare MFS‐related height increase across populations. Height and weight data of individuals wit...
Background:
It is difficult to assess the risk for aortic dissection beyond the aortic root in patients with Marfan syndrome (MFS). To aid risk assessment in these patients, we investigated aortic flow and wall shear stress (WSS) by 4D flow magnetic resonance imaging (MRI) in patients with MFS and compared the results with healthy volunteers. We h...
Marfan syndrome (MFS) is a connective tissue disorder affecting the cardiovascular, ocular, and skeletal system, which may be accompanied by psychological features. This study aimed to determine the prevalence of fatigue, anxiety, and symptoms of depression in MFS patients, and to assess the degree to which sociodemographic and clinical variables a...
As a 55 patient study example, three hospital departments (no surgery, little surgery, lot of surgery), and three patient age classes (young, middle, old) were the predictors of the risk of three classes of falling out of bed (fall out of bed:
“no”,
“yes but no injury”,
“yes and injury”).
The multinomial model shows, that the department is a very s...
Twenty-four terms particularly often used in connection with kernel ridge regressions are given. Many more new terminologies are applied in the current edition, but most of them have been explained directly in the text.KeywordsKernel ridge regressionNovel terminologiesKernel trickRidge regularizationKernel density modeling
Fifty patients were studied for numbers of paroxysmal atrial fibrillations (PAFs), while on a parallel-group treatment with two different treatments. The scientific questions were: do psychological and social factor scores and different treatments affect the numbers of PAFs per person per period of time. A weighted least squares (WLS) regression pr...
The effect on measured body surface of predictors including gender, age, weight, and height was assessed in 90 patients. The traditional linear regression with four predictors produced an R Square of no less than 0,996. Thus, the predictors together explained the outcome by 99,6%. A very good result. The insignificant gender effect and the weakly s...
The theory of kernel ridge regressions was first introduced by AE Hoerl and RW Kennard from Delaware. The authors seminal paper in Technometrics (1970; 8: 27–51) summarized several advantages: the kernel trick for reduced arithmetic complexity, the estimation of uncertainty through Gaussians instead of histograms, the corrected data-overfit through...
In this chapter the numbers of stools on a new laxative as outcome and the numbers of stools on the old laxative as predictor in 35 constipated patients was used as data example for testing the effects of simple linear regression, and quantile regression against kernel ridge regression. With traditional linear regression the old treatment was not a...
The effect of different dosages of prednisone and beta-agonists on peakflow was measured in 78 patients. In the traditional linear regression an R Square value of 0.582 is obtained, and the linear effects of prednisone dosages are a statistically significant predictor of the peak expiratory flow, but, surprisingly, the beta agonists dosages are not...
In a 200 patient data file of patients with sepsis the effect of laboratory predictors on survival/septic death was assessed. Traditional regression consisted of binary logistic regression with the logodds of survival from sepsis as outcome and the various laboratory values as predictors. Obviously, bilirubine, c-reactive protein, leucos are signif...
In a 20 patient parallel group trial the effect of treatment modality and covariates on hours of sleep was studied. The overall R Square value was 0,970, meaning that the outcome is predicted by the predictors by 97%. Multicollinearity was, however, in the data. The R Square of the kernel ridge regression using a Linear kernel density model was 0,9...
The effect of three predictors on health related quality of life scores was assessed with traditional and kernel ridge regressions. The R Square value of the traditional linear regression was 0,105, which indicates 10,5% certainty to predict the outcome qol score. This is a poor result. R Square values under 0,25 are assumed to have very poor predi...
In 139 physicians the effect on giving lifestyle advise or not of various predictors is assessed. Each physician produced two rows of data, one with and one without prior education as outcome. The predictor variables were physicians’ identity, age, prior postgraduate education or not, and country-practice or not. Only the physician id and having ha...
A data example of 252 persons was studied for the effects of different foods on breakfast scenario taken. Traditional analyses consisted of analysis of variance and multinomial regression. They produced respectively an R Square value of 0,122 (12,2%) and a pseudo R Square of 0,400 (40%). With kernel ridge regressions the best data fits were provide...
The effect of race, age, gender on physical strength was assessed in 60 patients. The variable race was traditionally assessed as a stepwise variable with four categories. and also in a restructured model as four binary variables (black yes or no, white yes or no, Asian yes or no, and hispanic yes or no). The R Square of the unrestructured model wa...
The effect on weight loss of physical exercise, calorieintake, and age was studied in 64 patients. The R square value of the traditional multiple variables linear regression of 0,502 can be interpreted as a 50,2% certainty about the outcome given by all of the predictors simultaneously. The coefficients table shows which of the predictor variables...
The effect of month on mean c-reactive protein levels was assessed in 18 subsequent months. Lag numbers are used for analysis, with monthly measures of paired differences between the first and subsequent monthly measures. The significant positive autocorrelations at the month no.13 (correlation coefficients of 0,42 (SE 0,14, t-value 3,0, p < 0,01)...
In a 250 patient data file 12 highly expressed genes were tested for their effect on a clustered outcome variable of drug efficacy. The multiple variables regression showed that 6 genes were very significant independent predictors of drug efficacy scores. Kernel ridge regressions provided quite better datafit particularly
the Additive Chi2 kernel d...
With non-normal outcome data, that remain non-normal in spite of transformations (Likert scales is a notorious example), data distributions may be skewed, and nonparametric regression analysis may provide better data fit than traditional parametric models do. The AICs (Akaike Information Criterion goodness of fit tests) of the full loglikelihood mo...
In a 40 patient study the effect of gender, treatment modalities, and their interaction was studied on the prevention of episodes of paroxysmal atrial fibrillation (paf). The R Square of the traditional regression with two predictors was 0,336 (33,6% certainty of prediction). Kernel ridge regressions were much more powerful.
Chi2 kernel density mod...
Kernel regression is more sensitive than traditional ordinary least squares regression, but is a discretization model. By the add-up sum of Gaussians, continuous variables are converted into discrete ones, otherwise discretized ones. Another problem is that of increasing mathematical complexity with multidimensional data. However, the kernel trick...
The effect of personal factors on anorexia was studied in 217 persons. The R square value of the traditional multiple variables linear regression of 0,481 can be interpreted as a 48,1% certainty about the outcome given by all of the personal factors simultaneously. This is close to 50%, which is a reasonable, but not yet strong prediction level. Wi...
In 953 patients various predictors of LDL (low density lipoprotein) - cholesterol reduction included weight reduction, gender, sport, treatment level, diet. The traditional ANOVA(analysis of variance) R-square was 0,972, corresponding with a very good predictive model. In the coefficients table of the traditional ordinary least regression analysis,...
A data example of 3390 patients with epilepsy was studied for various predictors of convulsions. First a data model with three predictors was analyzed with traditional multiple variables linear regression, but the predictive potential was poor with an overall R square of only 0,003, and a p-value of p = 0,015. Second, a four predictor model was ass...
Optimal scaling is a possibility to improve the correlation between predictors and outcomes. Kernel ridge regression provides optimally fit correlations, and performs even better than optimal scaling for the purpose of optimized predictive modeling.The traditional R Square values of the scale 1–3 models were respectively
scale 1 R Square = 0,277 =...
Previous studies in mainly European populations have reported that the gut microbiome composition is associated with the human genome. However, the genotype-microbiome interaction in different ethnicities is largely unknown. We performed a large fecal microbiome genome-wide association study of a single multiethnic cohort, the Healthy Life in an Ur...
The effect on monthly stools of counseling and non-compliance was assessed in 35 constipated patients. An output table showed, that counseling is a very significant predictor of therapeutic efficacy (stools) and non-compliance also a borderline significant predictor of stools at p = 0,098. The multiple variables regression produced an R Square of 0...
In 12,816 onchocerciasis patientyears it was studied whether age, sex and nonblind mortality are predictors of blind deaths. The overall R Square value is 0,994, which means 94,4% certainty about the prediction of the outcome by the above three predictors. The presence of multicollinearity in the data was suspected, and confirmed as assessed with o...
For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods for tumor detection and generation of clinical reports, incorporating a wide range of tumor characteristics, represents a major...
Introduction:
Patients participating in randomized controlled trials (RCTs) are susceptible to a wide range of different adverse events (AE) during the RCT. MedDRA® is a hierarchical standardization terminology to structure the AEs reported in an RCT. The lowest level in the MedDRA hierarchy is a single medical event, and every higher level is the...
This was a head-to-head comparative study on different ECG-based smartwatches and devices for atrial fibrillation detection. We prospectively included 220 patients scheduled for electrical cardioversion and recorded ECGs with three different devices (Withings Move ECG, Apple Watch 5, Kardia Mobile six-leads) as well as the standard 12-lead ECG (gol...
There is significant interest in altering the course of cardiometabolic disease development via gut microbiomes. Nevertheless, the highly abundant phage members of the complex gut ecosystem -which impact gut bacteria- remain understudied. Here, we show gut virome changes associated with metabolic syndrome (MetS), a highly prevalent clinical conditi...
BACKGROUND
Acute stroke care demands fast procedures carried out through the collaboration of multiple professionals across multiple organisations. Cloud computing and the wide adoption of electronic medical records (EMR) enable healthcare systems to improve data availability and facilitate sharing among professionals. However, designing a secure a...
Background
Acute stroke care demands fast procedures performed through the collaboration of multiple professionals across multiple organizations. Cloud computing and the wide adoption of electronic medical records (EMRs) enable health care systems to improve data availability and facilitate sharing among professionals. However, designing a secure a...
Background: A DPP6 gene risk haplotype, putatively enhancing Purkinje fiber transient outward current I to , associates with familial idiopathic ventricular fibrillation (IVF). Outside this genetic disposition, no clinical risk factors nor ECG features for IVF have so far been identified to recognize those at risk for IVF. Objective: We aimed to de...
4037
Background: Prediction models for survival may aid shared decision making between physicians and patients. Prior models have been developed that predict survival for patients with potentially curable esophagogastric cancer and patients with metastatic esophageal cancer who start first-line therapy (the SOURCE models). The aim of this study was...
Background
Congenital long QT syndrome (LQTS) is a rare heart disease caused by various underlying mutations. Most general cardiologists do not routinely see patients with congenital LQTS and may not always recognize the accompanying ECG features. In addition, a proportion of disease carriers do not display obvious abnormalities on their ECG. Combi...
Background: A DPP6 gene risk haplotype, putatively enhancing Purkinje fiber transient outward current Ito, associates with familial idiopathic ventricular fibrillation (IVF). Outside this genetic disposition, no clinical risk factors nor ECG features for IVF have so far been identified to recognize those at risk for IVF. Objective: We aimed to deve...
Objective:
Patients with glioblastoma are often scheduled for urgent elective surgery. Currently, the impact of the waiting period until glioblastoma surgery is undetermined. In this national quality registry study, the authors determined the wait times until surgery for patients with glioblastoma, the risk factors associated with wait times, and...
Objectives
Programmed death-ligand 1 (PD-L1) is the only approved predictive biomarker for immunotherapy in non-small cell lung cancer (NSCLC). However, predictive PD-L1 immunohistochemistry is subject to interobserver variability. We hypothesized that a pathologist’s personality influences the interobserver variability and diagnostic accuracy of P...
Introduction: Cerebral Venous Sinus Thrombosis (CVST) as a part of the thrombosis and thrombocytopenia syndrome is a rare adverse drug reaction of SARS-CoV-2 vaccination. The estimated background rate of CVST in adults is around 1 case per million per month, and CVST with thrombocytopenia accounts for 8% of all CVST. We assessed the age-stratified...
Background:
Surveillance data in high-income countries have reported more frequent SARS-CoV-2 diagnoses in ethnic minority groups. We examined the cumulative incidence of SARS-CoV-2 and its determinants in six ethnic groups in Amsterdam, the Netherlands.
Methods:
We analysed participants enrolled in the population-based HELIUS cohort, who were t...
Citations
... Phospholamban is a protein in cardiac myocytes that interacts with Ca 2+ pumps [32]. Mutations in the Phospholamban gene have been found to cause arrhythmias, cardiomyopathies, and sudden cardiac death [33,34]. Lopes et al. (2021) [35] targeted the identification of p.Arg14del as a mutation from patients' electrocardiography (ECG). ...
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... 36 In line with this data, in healthy children and hypercholesterolemic children, no association between arterial wall thickening and levels of Lp(a) was detected. 38,39 This raises the question of whether cIMT is a suitable marker for Lp(a) mediated vascular damage. 36,38 Children of the obese cohort were characterized by higher lipid values even though no sigificant correlation was observed between BMI and Lp(a). ...
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... The utility of deep learning models used in monitoring longitudinal tumor progression and treatment response [10,11] is directly dependent on the accuracy of these models to perform well on treated gliomas. Although a few more recent studies have achieved equivalent performance in segmenting treated gliomas [66][67][68][69], they still either require multiple (4) image contrasts as input to segment multiple tumor compartments simultaneously, necessitate multiple image preprocessing steps (i.e., co-registration/skull stripping), use very few post-operative patients for training and testing, neglect edema and infiltration seen on T2-weighted images, or report low Dice scores (<0. 65). ...
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... Lp(a) is a LDL-like particle composed of apolipoprotein B100 but with distinctive physiological effects. A significantly elevated level of Lp(a) is an important predictive variable for CHD risk in patients with FH [27][28][29][30][31]. In the present study, along with elevated LDL-cholesterol, several blood lipid profiles, including non-HDL-c, apoB, Lp(a), TC/HDL-c and apoB/apoA1 ratio, were significantly increased and were associated with the severity of coronary artery disease in FH patients. ...
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... The 5, 37, 297, extended 297, and 100 SNPs prospectively identified those cancer patients at high risk for VTE development in a population-based study [93]. The tumor type has not influenced the result [93]. ...
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... Ennek oka részben az lehetett, hogy az R2-CHOP karon levő betegeknél több esetben kellett dózist módosítani [26]. Ugyanakkor a betegséget genetikailag alcsoportokra bontva a C-MYC transzlokációt hordozó DLBCL-betegek esetén az R2-CHOP kezeléssel 15%-kal nőtt a progreszsziómentes betegek aránya [27]. ...
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... This appears to be the tip of an iceberg of significant bony abnormalities that are misdiagnosed as abusive injuries. Rib fractures, seen as healing callus during a large percentage of skeletal surveys during child abuse workups done in the first year of life, are quite common, see the references mentioned in the Introduction as well as those in previous work [55]. ...
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... As the method is reference library independent, it can be employed for samples across hosts and environments, ranging from high to low microbial biomass in environmental and clinical settings, including those containing previously unidentified species. Furthermore, quantity both increases statistical power and enables the ascertainment of complex relationships between different species, including antagonistic relationships and (mutualistic) trophic networks [9,10]. Further optimizing the cost-effectiveness of 16S rRNA gene sequencing so that thousands of samples can be readily studied would benefit research projects that are otherwise limited by funds and time. ...
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... It is further hypothesised that factors such as language barriers, social and cultural beliefs, and religion are important [20,21]. The HELIUS study indicated that the belief that COVID-19 was exaggerated in the media was significantly associated with low vaccination intent in ethnic minority populations in Amsterdam [22]. This highlights the need for tailored communication and outreach strategies and trust [21]. ...
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... Although SCFAs have a beneficial role in both migraine and depression, they can exert pro-inflammatory effects in an amount-and time-dependent way, worsening the neuroinflammatory condition [145], suggesting that the interactions among bacteria in the gut environment are complex. The gut bacterial strain Eggerthella has been previously related to depression [146], and it is involved in the synthesis of 5-HT and GABA. Eggerthella levels were also consistently greater in patients suffering from anxiety and migraine [52] (Figure 1). ...
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